![Comparison of the mortality prediction of different ICU scoring systems (APACHE II and III, SAPS II, and SOFA) in a single-center ICU subpopulation with acute respiratory distress syndrome - ScienceDirect Comparison of the mortality prediction of different ICU scoring systems (APACHE II and III, SAPS II, and SOFA) in a single-center ICU subpopulation with acute respiratory distress syndrome - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S042276381530025X-gr1.jpg)
Comparison of the mortality prediction of different ICU scoring systems (APACHE II and III, SAPS II, and SOFA) in a single-center ICU subpopulation with acute respiratory distress syndrome - ScienceDirect
![Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches | BMC Medical Informatics and Decision Making | Full Text Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches | BMC Medical Informatics and Decision Making | Full Text](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2Fs12911-022-01903-9/MediaObjects/12911_2022_1903_Fig1_HTML.png)
Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches | BMC Medical Informatics and Decision Making | Full Text
![An improved prognostic model for predicting the mortality of critically ill patients: a retrospective cohort study | Scientific Reports An improved prognostic model for predicting the mortality of critically ill patients: a retrospective cohort study | Scientific Reports](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-022-26086-1/MediaObjects/41598_2022_26086_Fig1_HTML.png)
An improved prognostic model for predicting the mortality of critically ill patients: a retrospective cohort study | Scientific Reports
![Study flowchart. ICU-AW: Intensive Care Unit – acquired weakness; OHCA:... | Download Scientific Diagram Study flowchart. ICU-AW: Intensive Care Unit – acquired weakness; OHCA:... | Download Scientific Diagram](https://www.researchgate.net/publication/267631373/figure/fig1/AS:295661238013966@1447502540562/Study-flowchart-ICU-AW-Intensive-Care-Unit-acquired-weakness-OHCA-out-of-hospital.png)
Study flowchart. ICU-AW: Intensive Care Unit – acquired weakness; OHCA:... | Download Scientific Diagram
![Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19 | Intensive Care Medicine Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19 | Intensive Care Medicine](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-022-06642-z/MediaObjects/134_2022_6642_Fig3_HTML.png)
Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19 | Intensive Care Medicine
![The Association Between Pressure Ulcer/Injury Development and Short-term Mortality in Critically Ill Patients: A Retrospective Cohort Study The Association Between Pressure Ulcer/Injury Development and Short-term Mortality in Critically Ill Patients: A Retrospective Cohort Study](https://s3.amazonaws.com/HMP/hmp_ln/imported/2020-01/Tab5_0.png)
The Association Between Pressure Ulcer/Injury Development and Short-term Mortality in Critically Ill Patients: A Retrospective Cohort Study
![Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19 | Intensive Care Medicine Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19 | Intensive Care Medicine](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-022-06642-z/MediaObjects/134_2022_6642_Fig1_HTML.png)
Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19 | Intensive Care Medicine
![Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier - ScienceDirect Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1532046418300273-fx1.jpg)
Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier - ScienceDirect
![Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients](https://d45jl3w9libvn.cloudfront.net/jaypee/static/journals/IJCCM/24/4/10.5005_jp-journals-10071-23407/images/ijccm-24-263-g002.jpg)
Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients
![Combination of APACHE Scoring Systems with Adductor Pollicis Muscle Thickness for the Prediction of Mortality in Patients Who Spend More Than One Day in the Intensive Care Unit Combination of APACHE Scoring Systems with Adductor Pollicis Muscle Thickness for the Prediction of Mortality in Patients Who Spend More Than One Day in the Intensive Care Unit](https://static.hindawi.com/articles/ccrp/volume-2018/5490346/figures/5490346.fig.003.jpg)
Combination of APACHE Scoring Systems with Adductor Pollicis Muscle Thickness for the Prediction of Mortality in Patients Who Spend More Than One Day in the Intensive Care Unit
![PDF) Development of the Combined Assessment of Risk Encountered in Surgery (CARES) surgical risk calculator for prediction of postsurgical mortality and need for intensive care unit admission risk: A single-center retrospective study PDF) Development of the Combined Assessment of Risk Encountered in Surgery (CARES) surgical risk calculator for prediction of postsurgical mortality and need for intensive care unit admission risk: A single-center retrospective study](https://www.researchgate.net/profile/Diana-Chan-13/publication/323989206/figure/tbl3/AS:614298795647022@1523471654719/Final-Combined-Assessment-of-Risk-Encountered-in-Surgery-model-combining-predictors-for_Q320.jpg)
PDF) Development of the Combined Assessment of Risk Encountered in Surgery (CARES) surgical risk calculator for prediction of postsurgical mortality and need for intensive care unit admission risk: A single-center retrospective study
![Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE | Critical Care | Full Text Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE | Critical Care | Full Text](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2Fs13054-021-03845-6/MediaObjects/13054_2021_3845_Fig2_HTML.png)
Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE | Critical Care | Full Text
![Development of a novel risk score to predict mortality in patients admitted to hospital with COVID-19 | Scientific Reports Development of a novel risk score to predict mortality in patients admitted to hospital with COVID-19 | Scientific Reports](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-020-78505-w/MediaObjects/41598_2020_78505_Fig1_HTML.png)
Development of a novel risk score to predict mortality in patients admitted to hospital with COVID-19 | Scientific Reports
![Decision curve analysis of the nomogram predicting the risk of ICU need... | Download Scientific Diagram Decision curve analysis of the nomogram predicting the risk of ICU need... | Download Scientific Diagram](https://www.researchgate.net/publication/354847527/figure/fig4/AS:1072154313490433@1632632916373/Decision-curve-analysis-of-the-nomogram-predicting-the-risk-of-ICU-need-in-hospitalized.png)
Decision curve analysis of the nomogram predicting the risk of ICU need... | Download Scientific Diagram
![Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches | BMC Medical Informatics and Decision Making | Full Text Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches | BMC Medical Informatics and Decision Making | Full Text](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2Fs12911-022-01903-9/MediaObjects/12911_2022_1903_Fig7_HTML.png)
Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches | BMC Medical Informatics and Decision Making | Full Text
![Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients](https://d45jl3w9libvn.cloudfront.net/jaypee/static/journals/IJCCM/24/4/10.5005_jp-journals-10071-23407/images/ijccm-24-263-g004.jpg)
Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients
![The prediction of mortality influential variables in an intensive care unit: a case study | Personal and Ubiquitous Computing The prediction of mortality influential variables in an intensive care unit: a case study | Personal and Ubiquitous Computing](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs00779-021-01540-5/MediaObjects/779_2021_1540_Fig3_HTML.png)
The prediction of mortality influential variables in an intensive care unit: a case study | Personal and Ubiquitous Computing
![Intensive care unit capacity and mortality in older adults: a three nations retrospective observational cohort study | Annals of Intensive Care | Full Text Intensive care unit capacity and mortality in older adults: a three nations retrospective observational cohort study | Annals of Intensive Care | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13613-022-00994-x/MediaObjects/13613_2022_994_Fig1_HTML.png)
Intensive care unit capacity and mortality in older adults: a three nations retrospective observational cohort study | Annals of Intensive Care | Full Text
![Frontiers | Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive Frontiers | Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive](https://www.frontiersin.org/files/Articles/994359/fcvm-09-994359-HTML-r1/image_m/fcvm-09-994359-g001.jpg)